"""
债券数据采集模块

实现国债、企业债、可转债等债券品种的数据采集
"""

import akshare as ak
import pandas as pd
import logging
from datetime import datetime
from typing import List, Dict
from sqlalchemy.orm import Session
from sqlalchemy.exc import IntegrityError

from src.models.base import get_db
from src.models.financial import BondInfo, BondDailyQuote
from config.settings import DATA_COLLECTION

logger = logging.getLogger("bond_collector")

class BondCollector:
    """债券数据采集器"""
    
    def __init__(self):
        self.retry_limit = DATA_COLLECTION["retry_limit"]
        self.retry_delay = DATA_COLLECTION["retry_delay"]
        self.db = next(get_db())
    
    def collect_bond_list(self, bond_type: str = "all") -> int:
        """采集债券列表信息"""
        try:
            # 国债列表
            if bond_type in ["all", "treasury"]:
                treasury_df = ak.bond_zh_us_rate()
                self._process_bond_list(treasury_df, "国债")
            
            # 企业债列表
            if bond_type in ["all", "corporate"]:
                corporate_df = ak.bond_corporate_issue_cninfo()
                self._process_bond_list(corporate_df, "企业债")
            
            # 可转债列表
            if bond_type in ["all", "convertible"]:
                convertible_df = ak.bond_zh_cov()
                self._process_bond_list(convertible_df, "可转债")
            
            self.db.commit()
            return True
            
        except Exception as e:
            self.db.rollback()
            logger.error(f"债券列表采集失败: {str(e)}")
            return False

    def collect_daily_quote(self, bond_code: str, start_date: str = None, end_date: str = None) -> int:
        """采集债券日行情数据"""
        try:
            # 获取债券基本信息
            bond = self.db.query(BondInfo).filter(BondInfo.code == bond_code).first()
            if not bond:
                logger.error(f"债券代码{bond_code}不存在")
                return 0
                
            # 根据债券类型调用不同接口
            if bond.type == "国债":
                df = ak.bond_zh_hs_daily(symbol=bond_code)
            elif bond.type == "可转债":
                df = ak.bond_zh_cov_daily(symbol=bond_code)
            else:
                df = ak.bond_zh_hs_daily(symbol=bond_code)
            
            # 数据清洗处理
            df = self._clean_bond_data(df, bond_code)
            
            # 保存到数据库
            return self._save_daily_quotes(bond.id, df)
            
        except Exception as e:
            logger.error(f"债券行情采集失败: {str(e)}")
            return 0

    def _process_bond_list(self, df: pd.DataFrame, bond_type: str) -> int:
        """处理债券列表数据"""
        # 实现债券数据清洗和保存逻辑
        pass

    def _clean_bond_data(self, df: pd.DataFrame, bond_code: str) -> pd.DataFrame:
        """清洗债券行情数据"""
        # 实现数据清洗逻辑
        pass

    def _save_daily_quotes(self, bond_id: int, df: pd.DataFrame) -> int:
        """保存日行情数据"""
        # 实现数据保存逻辑
        pass

    def __del__(self):
        if hasattr(self, 'db') and self.db:
            self.db.close()